# Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from keras.preprocessing.image import ImageDataGenerator
# normalize the pixel data (rescale) as its read from memory, and
# randomly rotate images +/- 20 degrees
datagen = ImageDataGenerator(rescale=1/255., rotation_range=20)

# train the model using the flow_from_directory() method
model.fit_generator(datagen.flow_from_directory('dataset', target_size=(128,128),       
                    batch_size=32), epochs=10)